Machine learning interatomic potentials like MACE (NeurIPS 2022) have reached a point where they rival density functional theory in accuracy while running orders of magnitude faster. But using them still requires Python scripting, command-line fluency, and environment setup that shuts out a large number of researchers, especially those with accessibility needs, those in under-resourced labs, or students encountering computational chemistry for the first time.
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但 671B 模型的天量参数模型能够在一台桌面机上端侧推理，仍然是一种奇观。512GB 的统一内存上，671B 模型占用了 400GB，加上上下文、macOS 系统本身以及其他任务占用，基本接近满载，但机器全程运行安静，噪音在正常范围，也没有过热。，详情可参考搜狗输入法2026
Трамп высказался о непростом решении по Ирану09:14，更多细节参见体育直播